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Related Concept Videos

Competition02:34

Competition

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When organisms require the same limited resources within an environment, they may have to compete for them. Competition is a net-negative interaction. Even if two competing individuals or populations do not interact directly, the overall fitness of both competitors is lowered as a result of not having full access to the limited resource.
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Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.
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Emergent competition shapes top-down versus bottom-up control in multi-trophic ecosystems.

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  • 1Department of Physics, Boston University, Boston, Massachusetts, United States of America.

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Ecosystems exhibit emergent competition between species within trophic levels due to complex food web interactions. This competition drives a shift from top-down to bottom-up control, impacting ecosystem properties.

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Area of Science:

  • Theoretical Ecology
  • Ecosystem Dynamics
  • Food Web Theory

Background:

  • Ecosystems are structured into trophic levels, forming food chains.
  • Understanding how trophic structure, diversity, and competition influence ecosystems is crucial.

Purpose of the Study:

  • To analyze a three-trophic-level Consumer Resource Model.
  • To investigate the effects of intra-trophic diversity on ecosystem properties.

Main Methods:

  • Utilized the zero-temperature cavity method.
  • Performed numerical simulations.
  • Derived mean-field cavity equations.

Main Results:

  • Intra-trophic diversity generates emergent competition between species.
  • This emergent competition causes a shift from top-down to bottom-up ecosystem control.
  • An order parameter, based on surviving species ratios, captures this control shift.

Conclusions:

  • The theoretical model aligns with empirical observations.
  • This approach can be applied to understand complex, multi-trophic-level ecosystems.